欢迎来到Python周刊第 361 期。让我们直奔主题。
给那些想要提高工作效率的白领、学者和管理员的实用编程课程。
We are calling out for speakers to share their Python knowledge (in the form of Talks, Workshop and Posters) which would intrigue the Python community at this event! We're looking for proposals on every aspect of Python: from basic to advanced levels.
Python Pandas: Tricks & Features You May Not Know
Lesser-known but idiomatic Pandas features for those already comfortable with Pandas's basic functionality and concepts.
Django Tutorial // Build a Video Subscription Website
In this Django project we teach you how to build a basic video subscription website with Django and Stripe payments.
Neural Style Transfer with OpenCV
In this guide you will learn how to apply Neural Style Transfer with OpenCV and Python to both images and video streams.
Build a live table using Flask
In this tutorial, you will learn how to build a realtime table using Python(Flask) and Pusher Channels. In the process, we are going to build a realtime flights status app.
Schooling Flappy Bird: A Reinforcement Learning Tutorial
This tutorial goes through the building blocks of reinforcement learning, showing how to train a neural network to play Flappy Bird using the PyTorch framework.
How to Create Custom Django Management Commands
Django comes with a variety of command line utilities that can be either invoked using django-admin.py or the convenient manage.py script. A nice thing about it is that you can also add your own commands. Those management commands can be very handy when you need to interact with your application via command line using a terminal and it can also serve as an interface to execute cron jobs. In this tutorial you are going to learn how to code your own commands.
Full stack Python Flask tutorial - Build a social network
Learn how to build a basic social platform with the Python Flask web framework. In this video we review how to create a database, pull data in and out of that database, create a web server with python, and use python HTML templating to render a page for the user!
How to Use MLflow to Experiment a Keras Network Model: Binary Classification for Movie Reviews
In this blog, we demonstrate how to use MLflow to experiment Keras Models. In particular, we build and experiment with a binary classifier Keras/TensorFlow model using MLflow for tracking and experimenting.
$4,718 -- Using Machine Learning to Bet on the NHL
Implementing Self-Organizing Maps with Python and TensorFlow
Generating Music with Seq2Seq Models
Configuring a .pypirc File for Easier Python Packaging
Senior Backend Engineer at Verve
Verve is building a global platform that enables advocates to sell the products they love to their friends. Our entire service is built using Python 3, Django, GraphQL, React.js and SASS and we need a Senior Backend Engineer to join our team and contribute significantly to the software and system design of our services.
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Optimus
Agile Data Science Workflows made easy with Python and Spark.
pyodide
The Python scientific stack, compiled to WebAssembly. It provides transparent conversion of objects between Javascript and Python. When inside a browser, this means Python has full access to the Web APIs.
Salmon
Salmon is a pure Python mail server designed to create robust and complex mail applications in the style of modern web frameworks. Salmon is designed to sit behind a traditional mail server in the same way a web application sits behind Apache or Nginx. It has all the features of a web application stack (templates, routing, handlers, state machine) and plays well with other libraries, such as Django and SQLAlchemy.
django-shapeshifter
A CBV to handle multiple forms in one view.
DUGA
DUGA is a raycaster made in Python3 with Pygame. It is a game built on top of a simple engine of the same name.
databot
High Performance Python Data driven programming framework for Web Crawler, ETL, Data pipeline work
Vba2Graph
Generate call graphs from VBA code, for easier analysis of malicious documents.
imaginaryC2
Imaginary C2 is a python tool which aims to help in the behavioral (network) analysis of malware. Imaginary C2 hosts a HTTP server which captures HTTP requests towards selectively chosen domains/IPs. Additionally, the tool aims to make it easy to replay captured Command-and-Control responses/served payloads.
Meshroom
Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework.
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
San Francisco PyData Meetup September 2018 - San Francisco, CA
将会有以下讲座：
- MLflow: Infrastructure for a Complete Machine Learning Life Cycle
- Data Visualization for Scientific Discover